Depressive symptoms and cortisol variability prior to surgery for suspected endometrial cancer

疑似子宫内膜癌手术前抑郁症状和皮质醇波动

阅读:1

Abstract

Endometrial cancer (EC) is the most common type of gynecologic cancer affecting women; however, very little research has examined relationships between psychological factors and hypothalamic-pituitary-adrenal (HPA) axis dysregulation in this population. The current study examined relations between depressive/anxious symptoms and salivary cortisol diurnal rhythm and variability in women undergoing surgery for suspected endometrial cancer. Depressive and anxious symptoms were measured prior to surgery using the Structured Interview Guide for the Hamilton Depression Inventory (SIGH-AD). Saliva was collected four times a day for the 3 days prior to surgery and then assayed by ELISA to obtain cortisol concentrations. Cortisol slopes and intraindividual variability were then calculated across subjects. Relations between depressive/anxious symptoms and cortisol indices were examined using multilevel modeling and linear regression analyses. Participants were 82 women with nonmetastatic endometrial cancer. Anxious symptoms were not associated with either cortisol slope or intraindividual variability, and depressive symptoms were unrelated to cortisol slope. However, after controlling for presence of poorer prognosis cancer subtypes, greater depressive symptoms (excluding symptoms possibly/definitely due to health/treatment factors) in the week preceding surgery were significantly related to greater cortisol intraindividual variability (β=.214; p<.05). These results suggest that depressive symptoms prior to surgery for suspected endometrial cancer are related to greater cortisol intraindividual variability, which is suggestive of more erratic HPA axis arousal. Future research should examine whether mood symptoms may be associated with compromised health outcomes via erratic HPA axis arousal in this population.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。